Search Results - "Chennakesavalu, Shriram"

Unified, Geometric Framework for Nonequilibrium Protocol Optimization by Chennakesavalu, Shriram, Rotskoff, Grant M

“…Controlling thermodynamic cycles to minimize the dissipated heat is a long-standing goal in thermodynamics, and more recently, a central challenge in…”
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Kinetic modeling reveals additional regulation at co-transcriptional level by post-transcriptional sRNA regulators by Reyer, Matthew A., Chennakesavalu, Shriram, Heideman, Emily M., Ma, Xiangqian, Bujnowska, Magda, Hong, Lu, Dinner, Aaron R., Vanderpool, Carin K., Fei, Jingyi

“…Small RNAs (sRNAs) are important gene regulators in bacteria. Many sRNAs act post-transcriptionally by affecting translation and degradation of the target…”
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Data-Efficient Generation of Protein Conformational Ensembles with Backbone-to-Side-Chain Transformers by Chennakesavalu, Shriram, Rotskoff, Grant M.

“…Excitement at the prospect of using data-driven generative models to sample configurational ensembles of biomolecular systems stems from the extraordinary…”
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Adaptive nonequilibrium design of actin-based metamaterials: Fundamental and practical limits of control by Chennakesavalu, Shriram, Manikandan, Sreekanth K, Hu, Frank, Rotskoff, Grant M

“…The adaptive and surprising emergent properties of biological materials self-assembled in far-from-equilibrium environments serve as an inspiration for efforts…”
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An Automated Image Analysis Method for Segmenting Fluorescent Bacteria in Three Dimensions by Reyer, Matthew A, McLean, Eric L, Chennakesavalu, Shriram, Fei, Jingyi

“…Single-cell fluorescence imaging is a powerful technique for studying inherently heterogeneous biological processes. To correlate a genotype or phenotype to a…”
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Data-efficient generation of protein conformational ensembles with backbone-to-side chain transformers by Chennakesavalu, Shriram, Rotskoff, Grant M

“…Excitement at the prospect of using data-driven generative models to sample configurational ensembles of biomolecular systems stems from the extraordinary…”
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A unified, geometric framework for nonequilibrium protocol optimization by Chennakesavalu, Shriram, Rotskoff, Grant M

“…Controlling thermodynamic cycles to minimize the dissipated heat is a longstanding goal in thermodynamics, and more recently, a central challenge in stochastic…”
Get full text

Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control by Chennakesavalu, Shriram, Rotskoff, Grant M

“…Experimental advances enabling high-resolution external control create new opportunities to produce materials with exotic properties. In this work, we…”
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Probing the Theoretical and Computational Limits of Dissipative Design by Chennakesavalu, Shriram, Rotskoff, Grant M

“…Self-assembly, the process by which interacting components form well-defined and often intricate structures, is typically thought of as a spontaneous process…”
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Energy Rank Alignment: Using Preference Optimization to Search Chemical Space at Scale by Chennakesavalu, Shriram, Hu, Frank, Ibarraran, Sebastian, Rotskoff, Grant M

“…Searching through chemical space is an exceptionally challenging problem because the number of possible molecules grows combinatorially with the number of…”
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Adaptive nonequilibrium design of actin-based metamaterials: fundamental and practical limits of control by Chennakesavalu, Shriram, Manikandan, Sreekanth K, Hu, Frank, Rotskoff, Grant M

“…The adaptive and surprising emergent properties of biological materials self-assembled in far-from-equilibrium environments serve as an inspiration for efforts…”
Get full text

Ensuring thermodynamic consistency with invertible coarse-graining by Chennakesavalu, Shriram, Toomer, David J, Rotskoff, Grant M

“…Coarse-grained models are a core computational tool in theoretical chemistry and biophysics. A judicious choice of a coarse-grained model can yield physical…”
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