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Jonathan P Mailoa

from Cambridge, MA
Age ~35
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Connected to:
Lolenese L Mailoto, 82Elean G Maily, 47Wendy J Maily, 56Rexiat Maimait, 59George N Maiman, 85Michal Maimaran, 48Anne T Maimares, 61Connie Maimbourg, 67Debbie Maimes, 71Maryann Maimo, 37

Jonathan Mailoa Phones & Addresses

  • Cambridge, MA
  • Palo Alto, CA

Work

Company: Mit pvlab Jan 2012 Address: Cambridge, Massachusetts Position: Graduate student researcher

Education

Degree: Doctor of Philosophy (PhD) School / High School: Massachusetts Institute of Technology 2012 to 2016 Specialities: Electrical Engineering

Skills

Physics • Matlab • Simulations • Computer Science • Research • Experimentation • Python • Solar Cells • Photovoltaics • Thin Films • Electrical Engineering • Algorithms • Nanotechnology • Numerical Simulation • R • Electronics • Labview • Solar Energy • Data Analysis • Microsoft Office • System Automation

Languages

English • Mandarin

Interests

Psychology • Entrepreneurship • Investing • Travelling • Economy • New Technologies

Industries

Renewables & Environment

Resumes

Resumes

Jonathan Mailoa Photo 1

Senior Research Engineer, Computational

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Location:
Cambridge, MA
Industry:
Renewables & Environment
Work:
MIT PVLab - Cambridge, Massachusetts since Jan 2012
Graduate Student Researcher
Robert Bosch - Palo Alto, California Jun 2011 - Dec 2011
Photovoltaic Research Intern
Robert Bosch - Palo Alto, California Jun 2010 - Sep 2010
Photovoltaic Research Intern
MIT Computer Science and Artificial Intelligence Laboratory - Cambridge, Massachusetts Jun 2009 - Aug 2009
Lab Assistant
MIT Research Laboratory of Electronics - Cambridge, Massachusetts Jan 2009 - Aug 2009
Undergraduate Laboratory Assistant
Education:
Massachusetts Institute of Technology 2012 - 2016
Doctor of Philosophy (PhD), Electrical Engineering Massachusetts Institute of Technology 2011 - 2012
Master of Engineering, Electrical Engineering and Computer Sciences Massachusetts Institute of Technology 2007 - 2011
Bachelor of Science, Electrical Engineering and Computer Sciences, Physics
Skills:
Physics
Matlab
Simulations
Computer Science
Research
Experimentation
Python
Solar Cells
Photovoltaics
Thin Films
Electrical Engineering
Algorithms
Nanotechnology
Numerical Simulation
R
Electronics
Labview
Solar Energy
Data Analysis
Microsoft Office
System Automation
Interests:
Psychology
Entrepreneurship
Investing
Travelling
Economy
New Technologies
Languages:
English
Mandarin

Publications

Us Patents

Catalyst Support Materials For Fuel Cells

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US Patent:
20220263098, Aug 18, 2022
Filed:
May 2, 2022
Appl. No.:
17/734558
Inventors:
- Stuttgart, DE
Jonathan MAILOA - Cambridge MA, US
Mordechai KORNBLUTH - Brighton MA, US
Lei CHENG - Sunnyvale CA, US
Georgy SAMSONIDZE - San Francisco CA, US
Boris KOZINSKY - Waban MA, US
Nathan CRAIG - Santa Clara CA, US
International Classification:
H01M 4/90
H01M 4/88
H01M 4/92
Abstract:
A catalyst support material for a proton exchange membrane fuel cell (PEMFC). The catalyst support material includes a metal material of an at least partially oxidized form of TiNbOreactive with HO, HF and/or SOto form reaction products in which the metal material of the at least partially oxidized form of TiNbOaccounts for a stable molar percentage of the reaction products.

Platinum-Based Alloy Catalyst Materials And Computational Methods Relating Thereto

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US Patent:
20230112040, Apr 13, 2023
Filed:
Oct 7, 2021
Appl. No.:
17/496089
Inventors:
- Stuttgart, DE
Karim GADELRAB - Boston MA, US
Jonathan MAILOA - Cambridge MA, US
Matthias HANAUER - Leonberg, DE
Ulrich BERNER - Stuttgart, DE
Nathan CRAIG - Santa Clara CA, US
Christina JOHNSTON - Mountain View CA, US
Charles TUFFILE - Swansea MA, US
International Classification:
H01M 4/92
C22C 5/04
Abstract:
A computational method for determining a location and an amount of a transition metal M in surface facets of a Pt—M alloy using a density functional theory includes receiving a particle size and a surface facet distribution of the Pt—M alloy and a total concentration of M in the Pt—M alloy; calculating a total number of M atoms in the Pt—M alloy based on the particle size and the surface facet distribution of the Pt—M alloy and the total concentration of M in the Pt—M alloy; and predicting a mixing energy between Pt and at least one of the total number of M atoms in a subsurface layer of each of the surface facets of the Pt—M alloy when Pt is mixed with the at least one of the total number of M atoms.

Neural Network Force Field Computational Training Routines For Molecular Dynamics Computer Simulations

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US Patent:
20230095631, Mar 30, 2023
Filed:
Sep 24, 2021
Appl. No.:
17/484448
Inventors:
- Stuttgart, DE
Karim GADELRAB - Boston MA, US
Mordechai KORNBLUTH - Brighton MA, US
Jonathan MAILOA - Cambridge MA, US
International Classification:
G16C 20/70
G16C 60/00
G06N 3/08
Abstract:
A computational method for training a neural network force field (NNFF) configured to simulate molecular and/or atomic motion within a material system. The method includes the step of receiving molecular structure data of a molecule in the material system. The method also includes optimizing a geometry of the molecule using the molecular structure data and a density functional theory (DFT) simulation to obtain DFT optimized geometry data. The method further includes optimizing the geometry of the molecule using the molecular structure data and a classical force field (FF) simulation to obtain FF optimized geometry data. The method also includes outputting NNFF training data comprised of the DFT optimized geometry data and the FF optimized geometry data. The NNFF training data is configured to train an NNFF for simulating molecular and/or atomic molecular and/or atomic motion within the material system.

Fuel Cell Bipolar Plate Alloys

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US Patent:
20230088316, Mar 23, 2023
Filed:
Nov 30, 2022
Appl. No.:
18/072235
Inventors:
- Stuttgart DE, US
Jonathan Mailoa - Cambridge MA, US
Lei Cheng - Sunnvale CA, US
Nathan Craig - Santa Clara CA, US
International Classification:
H01M 8/0208
C22C 21/00
C22C 38/02
H01M 8/0228
C22C 14/00
C22C 19/03
H01M 8/021
C22C 9/00
H01M 8/0215
H01M 8/1004
Abstract:
Fuel cell alloy bipolar plates. The alloys may be used as a coating or bulk material. The alloys and metallic glasses may be particularly suitable for proton-exchange membrane fuel cells because of they may exhibit reduced weights and/or better corrosion resistance. The alloys may include any of the following AlCuTi, AlFeNi, AlMnNi, AlNiTi, CuFeTi, CuNiTi, AlFeSi, AlMnSi, AlNiSi, NiSiTi, and CFeSi. The alloys or metallic glass may be doped with various dopants to improve glass forming ability, mechanical strength, ductility, electrical or thermal conductivities, hydrophobicity, and/or corrosion resistance.

Soil Samplers For Monitoring Soil Conditions

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US Patent:
20230088971, Mar 23, 2023
Filed:
Sep 21, 2021
Appl. No.:
17/480656
Inventors:
- Stuttgart, DE
Karim GADELRAB - Boston MA, US
Soo KIM - Arlington MA, US
Jonathan MAILOA - Cambridge MA, US
Georgy SAMSONIDZE - San Francisco CA, US
Kaushal SAGAR - Singapore, SG
International Classification:
G01N 33/24
G01N 1/04
G01N 21/78
G01N 21/64
G01N 27/333
Abstract:
A soil sampler attachable to a vehicle for agricultural uses includes a collector configured to collect a soil sample from a field as the vehicle advances across the field. The soil sampler further includes a preprocessor connected to the collector and configured to receive the soil sample from the collector and to preprocess the soil sample to dilute the soil sample. The soil sampler also includes a sensor connected to the preprocessor and configured to determine a concentration of at least one analyte in the soil sample. The soil sampler further includes a disposer connected to the sensor and configured to dispose the soil sample after the sensor determines the concentration of the at least one analyte in the soil sample.

Systems And Methods For Detecting Windshield Cracks

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US Patent:
20230055880, Feb 23, 2023
Filed:
Aug 18, 2021
Appl. No.:
17/405384
Inventors:
- Stuttgart, DE
Soo KIM - Arlington MA, US
Jonathan MAILOA - Cambridge MA, US
Charles TUFFILE - Swansea MA, US
Karim GADELRAB - Boston MA, US
Georgy SAMSONIDZE - San Francisco CA, US
International Classification:
G07C 5/08
G01N 21/958
G01N 27/04
G01N 27/20
G01N 33/38
B60J 1/02
C09D 5/24
C09D 1/00
Abstract:
Systems and methods are disclosed for detecting a crack in an automotive windshield and alerting a user of the same. This can allow the user to repair the crack before the user might otherwise detect the crack by his/her own visual inspection. The windshield can be provided with emitters configured to emit signals (e.g., sound, light, etc.) and corresponding detectors configured to detect the emitted signals. Signal profiles or signatures can be stored that represent normal measurements when there is no crack. Upon detecting a signal signature that deviates from the stored normal signal signatures, the system can notify the user of a potential crack in the windshield. The system can also determine the location of the crack based upon which of the detectors detect a change in the detected signal.

System For Sensing Water Quality Or Leaks Using Appliance Data And Machine Learning

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US Patent:
20230060059, Feb 23, 2023
Filed:
Aug 19, 2021
Appl. No.:
17/406642
Inventors:
- Stuttgart, DE
Soo KIM - Arlington MA, US
Jonathan MAILOA - Cambridge MA, US
Charles TUFFILE - Swansea MA, US
International Classification:
G01M 3/26
G01N 33/18
Abstract:
Systems and methods for monitoring the quality of water or leaks within a household plumbing system via machine learning are provided. Appliances can be connected to a plumbing system, wherein each appliance includes one or more sensors configured to output sensor data regarding a property of the water being utilized by that appliance. A processor is programmed to receive the sensor data and establish boundaries of normal operation. Then, when additional sensor data is received, the processor uses machine learning to classify that sensor data as being either within normal operation, or outside the bounds of normal operation. If the sensor data indicates the water property is outside the bounds, an output signal can be generated to inform the user.

Nitrogen-Doped Phosphoric Acid Fuel Cell Electrolyte

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US Patent:
20210376366, Dec 2, 2021
Filed:
May 28, 2020
Appl. No.:
16/886087
Inventors:
- Stuttgart, DE
Soo KIM - Cambridge MA, US
Jonathan MAILOA - Cambridge MA, US
International Classification:
H01M 8/1034
Abstract:
A fuel cell electrolyte includes a nitrogen-doped phosphate tetrahedral network having a plurality of linked tetrahedra, each of the plurality of the linked tetrahedra having a phosphorus cation center and four anions including oxygen or nitrogen, the network having at least one compound of formula (I):where x is any number between 0.001 and 3.
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Jonathan P Mailoa from Cambridge, MA, age ~35 Get Report