Depression of Cantilever - Young's Modulus and Bending
Explore the derivation of cantilever beam depression, material properties, and engineering physics concepts for BTech, BSc, and JEE preparation.
ナノフォトニクスおよびトポロジカルサイエンスの融合：光に対する人工ゲージポテンシャル - 2017年
Dive into トポロジカルサイエンスとナノフォトニクスの融合研究、人工ゲージポテンシャルを用いた光制御の革新的アプローチと、オンチップ・フォトニック回路への応用可能性について探究する。
Nanoscale Materials Science and Future Energy - From Carbon Nanotubes to Solar Technology
Explore the cutting-edge world of nanoscale carbon materials and their revolutionary applications in future energy technologies through groundbreaking research at Kyoto University.
多元素ナノ合金技術が切り拓くサイエンスと未来
Dive into 多元素ナノ合金の革新的技術と未来展望について、北川教授が解説する化学研究の最前線。貴金属合成から元素戦略まで、最新の研究成果を網羅的に紹介。
Development of Advanced Materials Through Interdisciplinary Approaches - Chemicals-inspired Biomaterials
Explore interdisciplinary approaches to advanced materials design, from enhancing MRI contrast agents to improving OLED technology and phototherapy applications in biomedical engineering.
分子の凸凹で「もの」をくっつける - 化学結合の基礎
分子の構造と結合の仕組みについて探求し、化合物の性質や相互作用を分かりやすく学べる講義。小中学生から大学院生まで幅広い層に向けた科学的な知見を提供。
Методи виявлення топологічних інваріантів у кристалічних ізоляторах
Дослідіть методи виявлення та аналізу топологічних інваріантів у кристалічних ізоляторах через поглиблений теоретичний семінар для фізиків-дослідників та аспірантів.
Криволінійний магнетизм
Дослідіть основи криволінійного магнетизму та його теоретичні аспекти через поглиблений аналіз фізичних явищ та їх математичного опису у просторових структурах.
Texturing with Quixel Mixer
Learn Quixel Mixer 2021's new features for texturing in Unreal Engine. Create surfaces, smart materials, work with multiple texture sets, and export to UE via Quixel Bridge in this comprehensive tutorial.
A GraphQL Framework for Non-JavaScript Servers - React.js Conf 2016
Explore GraphQL implementation in non-JavaScript servers using Graphene framework for Python, addressing REST limitations and showcasing real-world applications.
Materials Science Simulations on Quantum Computers
Explore quantum computing applications in materials science, focusing on electronic-structure simulations, quantum defect embedding theory, and noise mitigation strategies for IBM quantum hardware.
Quantum Information Science with Spins, Photons, Magnons, and Superconductors
Explore groundbreaking experiments in quantum platforms, examining hybrid quantum magnonic devices and newly discovered spin defects in GaN for advanced quantum sensing and networking applications.
Full-Stack Quantum Resource Estimation for Materials Science and Quantum Chemistry
Explore quantum resource estimation for materials science applications, from corrosion studies to protein binding, examining computational requirements and challenges in achieving utility-scale quantum computing.
Multi-Agent and Multi-Modal AI for Physics-Based Material Design and Discovery
Discover how AtomAgents, a multi-agent AI system, revolutionizes material science through physics-based modeling and advanced machine learning for efficient alloy design and analysis.
Efficient Quantum Simulation of Solid-State Materials via Pseudopotentials
Discover advanced techniques for implementing pseudopotentials in quantum algorithms for solid-state materials simulation, focusing on first-quantized plane-wave representations and resource optimization.
Cold Atoms, Quantum Simulation, and Driven Quasicrystals - Part 1
Explore quantum simulation using cold atoms and driven quasicrystals. Delve into advanced physics concepts and their experimental applications in this cutting-edge lecture.
Computer Modelling for Molecular Science – With Sir Richard Catlow
Explore how high-performance computer simulations revolutionize scientific understanding, from molecular behavior to planetary-scale hypotheses, with applications in crystallography, materials science, and battery technology.
Cold Atoms, Quantum Simulation, and Driven Quasicrystals - Part 2
Explore quantum simulation and driven quasicrystals using cold atoms. Delve into advanced concepts in periodically driven complex systems and their applications in quantum physics.
Tangible and Physical Interaction in the Wild - Today and Tomorrow
Exploring the evolution and future of tangible interfaces in real-world applications, from research labs to mass production, and their impact on user interaction and technology development.
Embedding Domain Knowledge for Machine Learning of Complex Material Systems
Explore embedding domain knowledge in machine learning for complex material systems, focusing on hierarchical approaches, response surfaces, and hidden correlations in materials research.
Towards Practical Quantum Advantage - Quantum Colloquium
Explore quantum computing's potential for practical advantage, focusing on small data problems with superquadratic speedups. Discusses progress in quantum algorithms for chemistry and simulation challenges.