# Nanoschool — Comprehensive Deep-Science Knowledge Map > Nanoschool is the premier deep-science workforce and research learning platform, > operating as the official learning initiative of the Nano Science and Technology > Consortium (NSTC), founded in 2006. Nanoschool delivers structured education, > mentor-led workshops, flagship professional programs, and research internships > across Artificial Intelligence (AI), Nanotechnology, and Biotechnology. ## Quick Platform Facts - Parent Organization: Nano Science and Technology Consortium (NSTC), established 2006 - Head Office: LGF, 40 National Park, Lajpat Nagar IV, New Delhi - 110024, India - Official Contact: info@nstc.in | +91-9958161117 / +91-120-4781217 - Official Domains: https://nanoschool.in | https://nstc.in - Audience: Students, PhD Scholars, Academic Faculty, Working Professionals, and R&D Teams - Global Delivery: Modular online platforms with Live Labs and mentor-led capstones --- ## 1. Subject Domains & Architecture ### Artificial Intelligence (AI) Focuses on practical, applied, and research-grade AI capability: - Machine Learning & Deep Learning architectures - Generative AI, LLMs, and prompt-to-pipeline engineering - AI for Drug Discovery, molecular docking, and cheminformatics - AI for Healthcare, clinical diagnostics, and predictive bioinformatics - AI Governance, reproducibility, and computational science pipelines Canonical domain URL: https://products.nanoschool.in/domains/ai ### Nanotechnology (Nano) Focuses on nanomaterials synthesis, characterization, and industrial applications: - Nanomaterials synthesis, chemical and physical vapor deposition - High-end characterization: SEM, TEM, AFM, XRD, and spectroscopy - Nano-electronics, semiconductors, quantum dots, and energy storage - Nanomedicine, targeted drug delivery systems, and biosensors - Regulatory compliance, safety standards, and commercial nanotechnology Canonical domain URL: https://products.nanoschool.in/domains/nano ### Biotechnology (Bio) Focuses on translational life sciences, genomics, and biomanufacturing: - Multi-omics data analysis: RNA-Seq, single-cell sequencing, spatial transcriptomics - Clinical Bioinformatics, variant curation, and ACMG clinical reporting - Bioprocess engineering, fermentation technology, and upstream/downstream validation - Clinical trial operations, GCP compliance, and pharmacovigilance - Forensic biotechnology, crime scene investigation, and genetic profiling Canonical domain URL: https://products.nanoschool.in/domains/bio --- ## 2. Flagship Programs & Syllabi Each Flagship Program is an 8-week, mentor-led curriculum combining theoretical foundations, computational tools, hands-on simulation workflows, and a capstone portfolio project. ### DrugAI Pro - Domain: Artificial Intelligence - Focus: AI-Driven Drug Discovery & Cheminformatics - Summary: Target identification, molecular modelling and cheminformatics workflows for computational drug discovery. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/drugai-pro ### GenomeInsight Pro - Domain: Artificial Intelligence - Focus: NGS Data Analysis & Multi-Omics - Summary: Genomic workflows, RNA-seq and variant interpretation across next-generation sequencing data. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/genomeinsight-pro ### ClinBio Pro - Domain: Biotechnology - Focus: Clinical Bioinformatics & Genomic Medicine - Summary: Variant interpretation and ACMG guidelines, bridging genomics and clinical care. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/clinbio-pro ### OmicsLab Pro - Domain: Biotechnology - Focus: Single-Cell & Spatial Transcriptomics - Summary: Single-cell RNA-seq and spatial transcriptomics, from experimental design to analysis. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/omicslab-pro ### BioManufactureX Pro - Domain: Biotechnology - Focus: Biologics GMP Manufacturing - Summary: Upstream processing, downstream purification and quality systems in biologics manufacturing. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/biomanufacturex-pro ### RegLaunch Bio Pro - Domain: Biotechnology - Focus: Global Regulatory Affairs & CMC Writing - Summary: Regulatory strategy, CMC writing and eCTD submissions for biologics. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/reglaunch-bio-pro ### TrialOps Pro - Domain: Biotechnology - Focus: Clinical Research & GCP Operations - Summary: GCP, participant management and decentralised trial operations for clinical research. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/trialops-pro ### LabAdvance Pro - Domain: Biotechnology - Focus: Medical Laboratory Quality & Molecular Diagnostics - Summary: Laboratory quality systems and molecular diagnostics in a modern diagnostic lab. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/labadvance-pro ### QualitySafe Pro - Domain: Biotechnology - Focus: Patient Safety & Hospital Accreditation - Summary: How hospitals manage safety, prevent harm and meet accreditation standards. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/qualitysafe-pro ### CareInformatics Pro - Domain: Artificial Intelligence - Focus: Digital Health & AI Workflow Design - Summary: EHR interoperability and clinical workflow design across digital health systems. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/careinformatics-pro ### ImagingFlow Pro - Domain: Artificial Intelligence - Focus: Diagnostic Imaging Operations & Teleradiology - Summary: Imaging workflows, protocol optimisation and teleradiology operations. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/imagingflow-pro ### RehabPath Pro - Domain: Biotechnology - Focus: Rehabilitation Care Pathways & Telerehab - Summary: Telerehab workflows, functional assessment and assistive technology in rehabilitation care. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/rehabpath-pro ### BioForensics Pro - Domain: Biotechnology - Focus: Forensic DNA & Biological Evidence - Summary: Evidence collection, PCR amplification and DNA profiling in forensic biology. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/bioforensics-pro ### CrimeSceneX Pro - Domain: Biotechnology - Focus: Crime Scene Investigation & Reconstruction - Summary: Scene security, evidence collection and pattern analysis for scene reconstruction. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/crimescenex-pro ### CyberTrace Pro - Domain: Artificial Intelligence - Focus: Digital Forensics & Cybercrime Investigation - Summary: Evidence handling and memory forensics for cybercrime investigation. - Format: 8 weeks (6-8 hours/week), modular online + mentor sessions + capstone project - Canonical URL: https://products.nanoschool.in/programs/flagship-programs/cybertrace-pro --- ## 3. Academic & Industry Pricing Matrix NanoSchool maintains transparent, outcome-oriented pricing structures with launch discounts accessible in both Indian Rupees (INR) and US Dollars (USD): ### Standard Flagship Program Pricing Tiers: - Student Category: Launch Offer ₹9,999 (Regular ₹14,999) | International: $350 USD - PhD Scholar / Researcher: Launch Offer ₹12,999 (Regular ₹18,999) | International: $450 USD - Faculty / Academician: Launch Offer ₹13,999 (Regular ₹21,999) | International: $500 USD - Industry Professional: Launch Offer ₹14,999 (Regular ₹24,999) | International: $600 USD ### Course Libraries & Bundle Options: - 1 Course: ₹4,999 / $150 USD - 3-Course Specialization Pack: ₹12,499 / $380 USD - 5-Course Advanced Path: ₹19,999 / $600 USD - 10-Course Master Pack: ₹34,999 / $1,100 USD - Institutional & Campus Bulk Licensing: Customized on request at info@nstc.in --- ## 4. Platform FAQs & Authoritative Answers Q: What is NanoSchool? A: NanoSchool is a deep-science learning platform offering Courses, Workshops, Internships and Programs across artificial intelligence, nanotechnology and biotechnology. It serves Students, Ph.D. Scholars and Researchers, Academicians and Faculty, Industry Professionals, and institutions. Q: What is NSTC? A: NSTC is the Nano Science & Technology Consortium, established in 2006. It works to connect scientific research with practical education and industry training. Q: What is the relationship between NanoSchool and NSTC? A: NanoSchool is the learning initiative of NSTC. Programs are delivered under NanoSchool, and certificates and institutional collaborations are backed by NSTC. Q: What types of programs are offered? A: Courses, Workshops, Internships and longer Programs. Courses are structured online learning; Workshops are scheduled sessions on a focused topic; Internships are project-based and mentor-guided. Q: Who can participate in NanoSchool programs? A: Students, Ph.D. Scholars and Researchers, Academicians and Faculty, and Industry Professionals. Some Programs are open to all four groups; others state their intended participant on the programme page. Q: Are programs available internationally? A: Yes. Participants join from outside India, and international pricing is shown in USD on the relevant programme pages. Q: Which domains does NanoSchool cover? A: Three: artificial intelligence, nanotechnology and biotechnology — plus the interdisciplinary work between them, such as AI applied to genomics or to nanomaterial design. Q: How do I share my experience of a programme I attended? A: Use the form on the Success Stories page. Start by choosing the programme you attended and the rest of the form fills in around it. A star rating, a photo and a profile link are all optional. Q: How are testimonials verified before they are published? A: Nothing is published automatically. Each submission is checked against the programme it names, and we may contact you to confirm. We publish only with your explicit permission, and a photo only when that permission covers it. Q: What is the difference between a Course, a Workshop and a Program? A: A Course is self-paced online learning you work through in your own time. A Workshop runs on set dates, usually live. A Program is a longer structured pathway that may combine both, often with mentor guidance. Q: Are Courses self-paced or scheduled? A: Courses are self-paced — you start after enrolling and progress at your own speed through the Dashboard. Workshops are the scheduled format. Q: Are programs suitable for beginners as well as advanced participants? A: Both. Each programme page states its level. Foundational programmes assume no prior background; advanced ones assume working knowledge of the domain. Q: How do I choose the right Course or Program? A: Pick your domain first (AI, nanotechnology or biotechnology), then the format that fits your time — a Course if you need flexibility, a Workshop if you want live sessions on fixed dates. Every programme page lists what it covers and who it is for. Q: Do programs connect with each other? A: Yes. A Course can lead into a Workshop on the same subject, and both can lead into an Internship. Nothing is a prerequisite for anything else unless the programme page says so. Q: What is a NanoSchool Workshop? A: A Workshop is a focused, scheduled programme delivered live over one or more sessions, typically on a specific technique or topic. The dates are shown on the workshop page before you enrol. Q: What happens if I miss a live session? A: Where recordings are included with the Workshop, they are made available through the participant Dashboard after the sessions, so a missed session can be caught up. Whether recordings are included is stated on the workshop page. Q: Will workshop recordings and study materials be available? A: Where included with the Workshop, recordings and study materials will be available through the participant Dashboard after the sessions. Q: Are Workshops available for institutions and faculty groups? A: Yes. Workshops can be arranged for a department, a student cohort or a faculty development programme. See the Institutional Training section below. Q: How do I apply for an Internship? A: Apply through the Applications page. Choose Internship as the application type, tell us your domain and what you want to work on, and attach your CV. You will get a reference number on submission and the team will follow up by email. Q: Are internships mentor-based? A: Yes. Each Internship is guided by a mentor — a Researcher, Academician or Industry Professional working in that domain — who sets the project scope and reviews progress. Q: Who can apply for an Internship? A: Students and early-stage Researchers are the usual applicants. Selection depends on the domain, your background and the project, so applying is not the same as being placed. Q: Does an Internship carry a certificate? A: Yes, on successful completion of the project and its review. The certificate names the domain and the project undertaken. Q: How do I enroll in a Course or Workshop? A: Open the programme page, select Enrol, and complete payment. Your enrolment appears in the Dashboard under My Learning as soon as the payment is confirmed. You do not need an account before paying — one is created against the email you enter. Q: What is Batch Enrollment? A: Batch Enrollment lets one person enrol several participants in the same Course or Workshop in a single transaction — used by institutions, departments and companies enrolling a group. Q: Can institutions enroll multiple participants together? A: Yes, through Batch Enrollment. You enter each participant's name, email and phone, and pay once for the whole batch. Each participant then gets their own Dashboard access against their email. Q: Can I select any number of participants? A: Yes. Add participants one at a time or set the batch size directly. There is no fixed minimum beyond one participant, and no upper limit. Q: Can participants belong to different fee categories? A: No. A batch is charged at the programme's price for every seat, so all participants in one batch are at the same rate. If you need different rates for different participant types, place a separate Batch Enrollment for each, or contact us for an institutional quote. Q: Can I upload participant details through CSV? A: Yes. Use Import from CSV on the Batch Enrollment page. The file needs a header row with name, email and phone columns; the importer also accepts fullname, emailaddress and mobile as column names. Q: Can I edit CSV-uploaded participant information before submission? A: Yes. Imported rows load into the participant list on screen, where every field stays editable. You can correct entries, add participants or remove them before paying. Q: How is the total batch fee calculated? A: The programme price multiplied by the number of participants. Any coupon or offer you apply is deducted from that total, and the payable amount is shown before you pay. Q: Can I edit participant details after Batch Enrollment is submitted? A: Not from the Dashboard. Once payment is complete the enrolments are created against the emails supplied, so write to the support inbox with the order number and the correction needed. Q: How are fees determined for Students, Researchers, Faculty and Industry Professionals? A: Each programme sets its own price, shown on its page in Indian rupees, with USD pricing for international participants. Where a programme offers a concessional rate for a participant group, that is stated on the programme page itself. Q: What payment methods are accepted? A: Payments are processed through Razorpay, which accepts credit and debit cards, UPI, net banking and wallets. International cards are supported for USD pricing. Q: When will my invoice be available? A: The invoice will be available through the participant Dashboard under My Purchases once the payment has been successfully processed and credited. Q: Can I apply a coupon or an offer? A: Yes. Enter the code at checkout and the discount is applied to the amount before you pay. Coupons apply to Batch Enrollment totals as well. Q: What is the refund policy? A: Refund eligibility depends on the programme and how close it is to starting. The full terms are on the Refund Policy page, which you also acknowledge at checkout. Q: My payment was deducted but the enrolment did not complete. A: Check the Dashboard under My Purchases first — most such payments confirm within a few minutes. If it still does not appear, write to the support inbox with the payment reference and we will reconcile it. Q: Will I receive a certificate? A: Yes. Participants who successfully complete the eligible Workshop or Program will receive an e-certificate. Q: When is the certificate issued? A: After completion has been recorded and the request has been reviewed. You can follow its progress under My Certificates in the Dashboard, where it moves from requested to approved to issued; the download appears once it is issued. Q: What is a co-branded certificate? A: A certificate issued jointly with a partner institution for programmes run in collaboration with them. It carries both marks and is available only where that collaboration is in place. Q: Can a certificate be verified? A: Yes. Every issued certificate carries an ID that resolves to a verification page on this site, so an employer or institution can confirm it independently. Q: How do I access my enrolled Workshop or Course? A: Log in to NanoSchool using your registered email ID, open Dashboard from the website header, and select your enrolled program. From the Dashboard, you can access available invoices, certificates, recordings, and study materials. Q: How do I access my NanoSchool Dashboard? A: Sign in with the email address you used to enrol, then choose Dashboard in the header. Sign in with Google if you enrolled using a Google account. Q: How long is access available? A: Enrolments stay in your Dashboard and do not expire on a fixed timer. Where a specific programme limits how long its material stays available, that is stated on the programme page — so check there rather than assuming indefinite access. Q: I have paid but the programme is not showing in my Dashboard. A: Confirm you are signed in with the same email you used at checkout — an enrolment is created against that address, so a different account will not show it. If the email matches and it is still missing, write to support with the order number. Q: Does NanoSchool offer mentorship? A: Yes. Internships and several Programs are mentor-guided, with a named mentor who sets the scope of your work and reviews it. Q: Who are NanoSchool mentors? A: Researchers, Academicians and Faculty, and Industry Professionals working in artificial intelligence, nanotechnology and biotechnology. Their profiles are listed on the Mentors page. Q: Can I become a mentor? A: Yes, if you have research or industry experience in one of the three domains. Apply through the mentor application form on the Careers page; applications are reviewed before a profile is published. Q: Can universities or companies request customized training? A: Yes. Training can be built around a specific syllabus, cohort size and schedule — for a department, a student batch or a corporate team. Send us the domain, the group size and your timeline to start. Q: How can an institution collaborate with NSTC / NanoSchool? A: Common models are joint Workshops, faculty development programmes, co-branded certificates and student cohort enrolments. Use the Applications page and select the partnership option, or write to us directly. Q: Can we get pricing for a group or a cohort? A: Yes. Group pricing depends on cohort size, duration, domain and whether certification is included, so it is quoted rather than listed. For a straightforward group at the standard rate, Batch Enrollment handles it without a quote. Q: Can our institution's name appear on the certificate? A: Where a co-branded certificate arrangement is in place for that programme, yes. This is agreed as part of the collaboration rather than added to an individual enrolment. Q: Who should I contact for technical or enrollment support? A: Use the Contact page, or write to info@nstc.in. Include your registered email and the order number if your question is about a payment or an enrolment — it is the fastest way to get a specific answer. Q: I cannot log in to my account. A: Sign in with the exact email you used to enrol. If you enrolled through Google, use Sign in with Google rather than a password. If neither works, contact support with that email address. Q: I am not receiving emails from NanoSchool. A: Check your spam or promotions folder first, and confirm the address on your profile is the one you want mail sent to. If messages are still missing, tell support which email you expected and when. --- ## 5. Technical Glossary & Domain Terminology - **Agentic AI** (AI): A system that plans a sequence of steps, calls tools, checks its own output and retries — rather than producing one response. URL: https://products.nanoschool.in/resources/glossary/agentic-ai - **Artificial general intelligence** (AI): A hypothetical system matching human competence across essentially any cognitive task, rather than excelling at specific ones. URL: https://products.nanoschool.in/resources/glossary/agi - **Atomic force microscope** (NANO): An instrument that images a surface by dragging or tapping an extremely sharp tip across it and recording the deflection. URL: https://products.nanoschool.in/resources/glossary/afm - **Attention** (AI): The mechanism by which each position in a sequence decides how much of every other position to mix into its own representation. URL: https://products.nanoschool.in/resources/glossary/attention - **Benchmark** (AI): A fixed test set used to compare models — which measures one thing well and everything else badly. URL: https://products.nanoschool.in/resources/glossary/benchmark - **Bioinformatics** (BIO): Analysing biological data — sequences, structures, expression — computationally. URL: https://products.nanoschool.in/resources/glossary/bioinformatics - **Biosensor** (BIO): A device that turns a biological binding event into a measurable signal — a current, a colour, a frequency shift. URL: https://products.nanoschool.in/resources/glossary/biosensor - **Bottom-up fabrication** (NANO): Building structures by letting atoms and molecules arrange themselves into the arrangement you want. URL: https://products.nanoschool.in/resources/glossary/bottom-up-fabrication - **Characterisation** (NANO): Establishing what a sample actually is — size, shape, composition, structure — rather than what it was intended to be. URL: https://products.nanoschool.in/resources/glossary/characterisation - **Colloid** (NANO): A stable suspension of particles small enough that they stay dispersed instead of settling out. URL: https://products.nanoschool.in/resources/glossary/colloid - **CRISPR** (BIO): A gene-editing system that uses a short guide RNA to find one address in a genome and an enzyme to cut it there. URL: https://products.nanoschool.in/resources/glossary/crispr - **Deep learning** (AI): Machine learning where the model also learns its own representation of the input, layer by layer. URL: https://products.nanoschool.in/resources/glossary/deep-learning - **Embedding** (AI): A list of numbers representing a word, image or molecule, arranged so that similar things sit close together. URL: https://products.nanoschool.in/resources/glossary/embedding - **Fine-tuning** (AI): Continuing to train an existing model on a smaller, more specific dataset to change its behaviour. URL: https://products.nanoschool.in/resources/glossary/fine-tuning - **Guide RNA** (BIO): The short RNA sequence that tells a CRISPR enzyme where in the genome to cut. URL: https://products.nanoschool.in/resources/glossary/guide-rna - **Hallucination** (AI): A fluent, confident, and false output — the model's normal behaviour applied to something it does not know. URL: https://products.nanoschool.in/resources/glossary/hallucination - **In silico** (BIO): An experiment performed as a computation — a simulation, a docking run, a model prediction. URL: https://products.nanoschool.in/resources/glossary/in-silico - **In vitro** (BIO): An experiment performed outside a living organism — in a dish, a tube or a well plate. URL: https://products.nanoschool.in/resources/glossary/in-vitro - **In vivo** (BIO): An experiment performed in a living organism. URL: https://products.nanoschool.in/resources/glossary/in-vivo - **Machine learning** (AI): Any system whose rule is fitted to examples rather than written by hand. URL: https://products.nanoschool.in/resources/glossary/machine-learning - **Nanomedicine** (NANO): Medicine that uses nanoscale carriers to control where a drug goes and when it is released. URL: https://products.nanoschool.in/resources/glossary/nanomedicine - **Nanometre** (NANO): One billionth of a metre (10⁻⁹ m) — roughly the width of ten hydrogen atoms in a row. URL: https://products.nanoschool.in/resources/glossary/nanometre - **Nanoparticle** (NANO): A particle with at least one dimension between roughly 1 and 100 nanometres, at which size its behaviour stops matching the bulk material. URL: https://products.nanoschool.in/resources/glossary/nanoparticle - **Overfitting** (AI): When a model learns the noise in its training data well enough to perform worse on anything new. URL: https://products.nanoschool.in/resources/glossary/overfitting - **p-value** (CROSS): The probability of seeing data at least this extreme if the effect being tested were absent. URL: https://products.nanoschool.in/resources/glossary/p-value - **PAM** (BIO): A short DNA sequence that must sit next to the target site for a CRISPR enzyme to cut — a constraint you cannot design away. URL: https://products.nanoschool.in/resources/glossary/pam - **Parameter** (AI): One of the numbers inside a model that training adjusts; the count of them is the usual proxy for a model's size. URL: https://products.nanoschool.in/resources/glossary/parameter - **PCR** (BIO): A cycle of heating and cooling that doubles a chosen DNA sequence each round, turning one copy into billions. URL: https://products.nanoschool.in/resources/glossary/pcr - **Peer review** (CROSS): Evaluation of a manuscript by other researchers before a journal publishes it. URL: https://products.nanoschool.in/resources/glossary/peer-review - **Preprint** (CROSS): A manuscript posted publicly before, or instead of, peer review. URL: https://products.nanoschool.in/resources/glossary/preprint - **Protein folding** (BIO): The process by which a chain of amino acids adopts the three-dimensional shape that determines what it does. URL: https://products.nanoschool.in/resources/glossary/protein-folding - **Quantum confinement** (NANO): What happens when a particle is small enough that its electrons' allowed energy levels separate into discrete steps. URL: https://products.nanoschool.in/resources/glossary/quantum-confinement - **Quantum dot** (NANO): A semiconductor nanocrystal whose emission wavelength is set by its physical size rather than its composition. URL: https://products.nanoschool.in/resources/glossary/quantum-dot - **Reproducibility** (CROSS): Whether an independent group following the published method obtains the same result. URL: https://products.nanoschool.in/resources/glossary/reproducibility - **Retrieval-augmented generation** (AI): Fetching relevant documents at question time and putting them in front of the model, rather than training the facts in. URL: https://products.nanoschool.in/resources/glossary/retrieval-augmented-generation - **Self-assembly** (NANO): Structures that form themselves because the components' own interactions make the ordered arrangement the lowest-energy one. URL: https://products.nanoschool.in/resources/glossary/self-assembly - **Sequencing** (BIO): Determining the order of bases in a stretch of DNA or RNA. URL: https://products.nanoschool.in/resources/glossary/sequencing - **Spectroscopy** (NANO): Working out what something is made of by measuring which wavelengths of light it absorbs or emits. URL: https://products.nanoschool.in/resources/glossary/spectroscopy - **Surface plasmon** (NANO): A collective oscillation of the electrons at a metal surface, which absorbs light at a wavelength set by the particle's size and shape. URL: https://products.nanoschool.in/resources/glossary/surface-plasmon - **Surface-to-volume ratio** (NANO): The fraction of a particle's atoms that sit on its surface — the mechanism behind most nanoscale behaviour. URL: https://products.nanoschool.in/resources/glossary/surface-to-volume-ratio --- ## 6. Contact, Campus & Credential Verification - Primary Portal: https://nanoschool.in - Parent Organization: Nano Science and Technology Consortium (https://nstc.in) - Campus & Administrative Office: LGF, 40 National Park, Lajpat Nagar IV, New Delhi - 110024, India - Telephones: +91-9958161117, +91-120-4781217, +91-120-4781213 - Inquiries: info@nstc.in - Certificate Verification Engine: https://nanoschool.in/verify - Live Workshop Calendar: https://nanoschool.in/workshop-calendar - Knowledge Hub: https://nanoschool.in/resources © 2006–present Nano Science and Technology Consortium (NSTC) & Nanoschool. All rights reserved.