
Discover how alginates from algae can revolutionize packaging, addressing global waste issues and creating sustainable solutions for coffee capsules and beyond.

Explore quantum materials' potential for novel computational approaches inspired by biological systems, addressing challenges in quantum computing through interdisciplinary collaboration.

Explore advanced CFD techniques for brake thermal pad analysis, including sliding mesh and conjugate heat transfer methods.

Explore viscoelastic material modeling using Prony series, focusing on Z matrix construction for specifying decay time constants in polymers.

Master techniques to prevent metal distortion during TIG welding of stainless steel, carbon steel, and aluminum using laser tracking methods and proper machine settings for optimal results.

Explore quantum phases and critical points of Rydberg atoms in frustrated Shastry-Sutherland lattice, validated through experimental testing on QuEra's quantum computer.

Explore quantum phases and critical points of Rydberg atoms in frustrated Shastry-Sutherland lattice, validated through experimental testing on QuEra's quantum computer.

Explore thermal management challenges and solutions for high-power optical modules, focusing on alternative methodologies beyond traditional case temperature measurements for next-gen transceivers.

Explore design optimization strategies for interconnect solutions in immersion cooling systems, focusing on reliability testing, failure modes, and performance enhancements for long-term durability.

Discover how Metal Gel conductors revolutionize Flexible Hybrid Electronics by enabling durable connections between rigid and soft components for reliable wearable technology and body-worn devices.

Discover groundbreaking advances in quantum material simulation algorithms that reduce circuit depths by 6 orders of magnitude through innovative fermionic encoding and locality-based approaches.

Discover how deep learning and chemistry combine to predict semiconductor material properties, revolutionizing development processes by reducing experimental needs and optimizing efficiency in manufacturing.

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.

Explore generative machine learning models for materials discovery, moving beyond screening to generate novel structures and chemistries using advanced algorithms and techniques.

Explore quantum and classical simulations of water-2D material interfaces, focusing on defects and roughness in hexagonal boron nitride. Gain insights into wettability, slip length, and interfacial properties for desalination and sensing applications.

Explore molecular graph representation learning, leveraging 3D geometry for enhanced drug and material discovery through self-supervised learning and the GraphMVP framework.

Explore quantitative modeling of magnetic materials at atomic scale, focusing on atomistic spin dynamics and quantum thermostat implementation for accurate thermodynamic calculations.

Explore collagen self-assembly prediction using amino acid sequences. Learn to design custom periodic collagen structures for novel biomimetic materials.

Explore crystallographic analysis of lunar iron crystals, examining unique deltoidal icositetrahedron faceting and its implications for understanding crystal growth in the lunar environment.

Explore a convergent polishing process developed by Lawrence Livermore National Laboratory researchers for advanced materials and surfaces.

Explore Fermi surface calculations using QMCPACK in this advanced workshop presentation, focusing on cutting-edge techniques and applications in quantum physics.