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Page 1
Statistical Inference for Ergodic Algorithmic Model (EAM), Applied to Hydrophobic Hydration Processes.
Entropy (Basel). 2021 Jun 1;23(6):700. doi: 10.3390/e23060700.
Entropy (Basel). 2021.
PMID: 34205970
Free PMC article.
Hydrophobic Hydration Processes. I: Dual-Structure Partition Function for Biphasic Aqueous Systems.
Fisicaro E, Compari C, Braibanti A.
Fisicaro E, et al. Among authors: braibanti a.
ACS Omega. 2018 Nov 8;3(11):15043-15065. doi: 10.1021/acsomega.8b01685. eCollection 2018 Nov 30.
ACS Omega. 2018.
PMID: 31458171
Free PMC article.
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Hydrophobic Hydration Processes: Intensity Entropy and Null Thermal Free Energy and Density Entropy and Motive Free Energy.
Fisicaro E, Compari C, Braibanti A.
Fisicaro E, et al. Among authors: braibanti a.
ACS Omega. 2019 Nov 11;4(22):19526-19547. doi: 10.1021/acsomega.9b01440. eCollection 2019 Nov 26.
ACS Omega. 2019.
PMID: 31788583
Free PMC article.
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Prospects of second generation artificial intelligence tools in calibration of chemical sensors.
Braibanti A, Rao RS, Ramam VA, Rao GN, Rao VV.
Braibanti A, et al.
Ann Chim. 2005 May;95(5):291-301. doi: 10.1002/adic.200590034.
Ann Chim. 2005.
PMID: 16477937
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Data, knowledge and method bases in chemical sciences. Part IV. Current status in databases.
Braibanti A, Rao RS, Rao GN, Ramam VA, Rao SV.
Braibanti A, et al.
Ann Chim. 2002 Jul-Aug;92(7-8):689-704.
Ann Chim. 2002.
PMID: 12185751
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