Toshiba (Japan)

Training Energy-Based Models with Non-MCMC Samplers and Efficient Temperature Estimation

Efficient sampling from Boltzmann distributions over discrete variables is a fundamental operation in a wide range of applications. While fast non-Markov chain Monte Carlo (MCMC) samplers have recently emerged as promising alternatives to conventional MCMC methods, their practica...

A Digitally Controlled Flow–Batch Platform for Reproducible Radical Copolymerization with Reduced Composition Drift

Abstract Free-radical copolymerization is widely used industrially, but scale transfer can alter polymer properties through changes in mixing and heat transfer. We developed a digitally controlled flow–batch platform integrating a micromixer, heated tubular reactor, and batch rea...

Pseudo-Core/Shell Latex Particles Constructed via Soft/Hard Segment Phase Separation for High-Performance Si/C Anodes

Abstract Silicon-based anodes in lithium-ion batteries (LIBs) currently suffer from structural collapse and capacity decay caused by drastic volume expansion in silicon particles. To address this issue, a binder that exhibits strong interfacial interactions and suitable mechanica...

In Situ X-ray Scattering for Doxorubicin-Loaded Liposomes to Elucidate the Morphological Change Mechanism Depending on the Cooling Rate and Cholesterol Content

Abstract Doxorubicin (DOX)-loaded liposomes are one of the most established and clinically relevant nanomedicines in a drug delivery system. In this study, we elucidate the mechanistic relationships among cooling rate, lipid composition, and the resulting morphological evolution...

Real-time black-box optimization for dynamic discrete environments using embedded Ising machines

Many real-time systems require the optimization of discrete variables. Black-box optimization (BBO) algorithms and multi-armed bandit (MAB) algorithms perform optimization by repeatedly taking actions and observing the corresponding immediate rewards without any prior knowledge....