물성 예측 마법사 - 화학과 딥러닝의 만남으로 세상을 예측하다
Discover how deep learning and chemistry combine to predict semiconductor material properties, revolutionizing development processes by reducing experimental needs and optimizing efficiency in manufacturing.
Offline Reinforcement Learning for Process Control - CDU Air Fan Cooler Control Application
Discover how offline reinforcement learning can optimize crude distillation unit control through historical data analysis, avoiding costly trial-and-error approaches in industrial process control systems.
再生可能エネルギーをためる蓄電池 - 現状と将来展望 - 次世代蓄電池 - 第4章
次世代蓄電池の技術と展望について学び、再生可能エネルギーの貯蔵に関する最新の研究成果と将来の可能性を探求する
再生可能エネルギーをためる蓄電池 - 現状と将来展望 - 第1章
探索する一次エネルギーと一次電池の基礎知識、再生可能エネルギー蓄電における現状と未来の展望について、京都大学の専門家による解説。
再生可能エネルギーをためる蓄電池 - 現状と将来展望 - 次世代蓄電池2 - 第5章
次世代蓄電池の技術と展望について学び、再生可能エネルギーの貯蔵に関する最新の研究成果と将来の可能性を探求する12分間の講義。
分子の自己組織化 - 2019年7月12日
Discover the fascinating principles of molecular self-assembly through an expert lecture by Professor Makoto Fujita, exploring how molecules spontaneously organize themselves into complex structures.
Siamo abbastanza umani per eccellere con l'IA?
Esplora come l'umanità può eccellere nell'era dell'IA, mantenendo coscienza ed etica. Scopri come progettare l'IA come alleato per noi e le nostre imprese, senza rinunciare al libero arbitrio.
Multi-scale Flow and Transport Dynamics in Porous Media
Explore multi-scale flow and transport dynamics in porous media, covering computational and experimental approaches to enhance predictive capabilities for various subsurface processes.
Итоговая лекция Центра дополнительного образования метрологии, квалиметрии и менеджмента
Узнайте о последних достижениях в метрологии и измерении расхода нефти и газа от ведущих экспертов отрасли.
Fluidized Bed Reactor Modeling with DDPM, DEM Collision, and Combustion in Ansys Fluent
Model fluidized bed reactors using DEM collision, DDPM, and combustion in Ansys Fluent. Learn to incorporate particle interactions for accurate simulations.
Aerobic Digestion in Bio-Reactor - Monod Reaction, Biomass Growth, and Heterogeneous Reaction
Explore aerobic digestion in bioreactors using Ansys Fluent, covering Monod reaction, biomass growth, and heterogeneous reactions.
Localization Phenomena in Interacting Flatland Systems
Explore localization phenomena in flatband networks, examining compact localized eigenstates and the impact of perturbations. Discover finetuning protocols for diverse localization features in classical and quantum systems.
Towards Quantum Simulation of Transport Phenomena with Rydberg Atom Arrays
Explore quantum simulation of transport phenomena using Rydberg atom arrays, focusing on cutting-edge research and potential applications in quantum information science.
Thermodynamics for Tailoring Crystallization
Explore thermodynamic principles for optimizing crystallization processes with Prof. Gabriele Sadowski's expert insights from TU Dortmund.
Continuous Upscaling in Multiscale Modeling
Explore continuous upscaling methods for multi-scale modeling. Learn about gradual smoothing transformations, upscaling rules for various physical quantities, and applications to steady-state diffusion problems.
Computing Generalized Ranks of Persistence Modules via Unfolding to Zigzag Modules
Efficient algorithm for computing generalized ranks of persistence modules using unfolding to zigzag modules, with applications in algebraic topology and data analysis.
Transport in Quantum Spin Chains - Lecture 3
Explore transport phenomena in quantum spin chains, focusing on single parameter scaling, Leanblood Master equations, and steady-state dynamics.
The Everyday Science of Gas
Explore the fascinating world of gases through historical discoveries, modern applications, and scientific experiments, from their role in fizzy drinks to their impact on climate and neural function.
Materials Discovery in Challenging Spaces with Machine Learning - Lecture 32
Explore materials discovery using machine learning, focusing on transition metal complexes and metal-organic frameworks with Prof. Heather Kulik from MIT.
Molecular Engineering of Salt-Containing Polymer Photoresists and Electroactive Membranes
Explore molecular engineering of salt-containing polymers for photoresists and electroactive membranes with Prof. Fernando Escobedo from Cornell University.
Particle Methods for Pore-Scale Modeling of Reactive Flows
Explore particle methods for modeling reactive flows in complex geometries, focusing on pore-scale applications in rock matrices and evolving fluid-solid interfaces.