An optimization of a non-volatile latch using memristors for sequential circuit applications
Sign Up to like & getrecommendations! Published in 2021 at "Analog Integrated Circuits and Signal Processing"
DOI: 10.1007/s10470-021-01863-6
Abstract: The next generation of non-volatile memory elements have been attracting significant attention for future emerging memory applications in recent years. Several technologies have been developed to occupy a new field in storage-class memory and even… read more here.
Keywords: volatile latch; non volatile; memory; topology ... See more keywords
Navigating the Unkown With AI: Multiobjective Bayesian Optimization of Non-Noble Acidic OER Catalysts
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Materials Chemistry A"
DOI: 10.1039/d3ta06651g
Abstract: Experimental catalyst optimization is plagued by slow and laborious efforts. Finding innovative materials is key to advancing research areas for sustainable energy conversion, such as electrocatalysis. Artificial intelligence (AI)-guided optimization... read more here.
Keywords: multiobjective bayesian; unkown multiobjective; bayesian optimization; navigating unkown ... See more keywords
Globally Injective Geometry Optimization with Non‐Injective Steps
Sign Up to like & getrecommendations! Published in 2021 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14361
Abstract: We present a method to minimize distortion and compute globally injective mappings from non‐injective initialization Many approaches for distortion minimization subject to injectivity constraints require an injective initialization and feasible intermediate states. However, it is… read more here.
Keywords: optimization non; non injective; geometry optimization; globally injective ... See more keywords
Optimization of non-smooth functions via differentiable surrogates
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0321862
Abstract: Mathematical optimization is fundamental across many scientific and engineering applications. While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentiable or even discontinuous. These models… read more here.
Keywords: non smooth; prediction; functions via; smooth functions ... See more keywords